Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Help & Advice
University of Warwick

The Library

  • Login
  • Admin

Five challenges for stochastic epidemic models involving global transmission

Tools
- Tools
+ Tools

Britton, Tom, House, Thomas A., Lloyd, Alun L., Mollison, Denis, Riley, Steven and Trapman, Pieter (2015) Five challenges for stochastic epidemic models involving global transmission. Epidemics, Volume 10 . pp. 54-57. doi:10.1016/j.epidem.2014.05.002

[img]
Preview
PDF
WRAP_1-s2.0-S1755436514000280-main.pdf - Published Version - Requires a PDF viewer.
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (424Kb) | Preview
Official URL: http://dx.doi.org/10.1016/j.epidem.2014.05.002

Request Changes to record.

Abstract

The most basic stochastic epidemic models are those involving global transmission, meaning that infection rates depend only on the type and state of the individuals involved, and not on their location in the population. Simple as they are, there are still several open problems for such models. For example, when will such an epidemic go extinct and with what probability (questions depending on the population being fixed, changing or growing)? How can a model be defined explaining the sometimes observed scenario of frequent mid-sized epidemic outbreaks? How can evolution of the infectious agent transmission rates be modelled and fitted to data in a robust way?

Item Type: Journal Article
Subjects: Q Science > QA Mathematics
R Medicine > RA Public aspects of medicine
Divisions: Faculty of Science > Mathematics
Library of Congress Subject Headings (LCSH): Epidemics -- Mathematical models
Journal or Publication Title: Epidemics
Publisher: Elsevier BV
ISSN: 1755-4365
Official Date: March 2015
Dates:
DateEvent
March 2015Published
5 June 2014Available
29 May 2014Accepted
18 February 2014Submitted
Volume: Volume 10
Page Range: pp. 54-57
DOI: 10.1016/j.epidem.2014.05.002
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Open Access
Funder: Isaac Newton Institute for Mathematical Sciences, Sweden. Vetenskapsrådet [Research Council], Engineering and Physical Sciences Research Council (EPSRC), United States. Department of Homeland Security. Science and Technology Directorate, Fogarty International Center. Research and Policy in Infectious Disease Dynamics Programme (RAPIDD), National Institutes of Health (U.S.) (NIH), National Science Foundation (U.S.) (NSF), Wellcome Trust (London, England), Medical Research Council (Great Britain) (MRC)
Grant number: R01-AI091980 (NIH), RTG/DMS-1246991 (NSF), 093488/Z/10/Z (WT), R01 TW008246-01 (Fogarty), MR/J008761/1 (MRC), 20105873 (SRC)

Request changes or add full text files to a record

Repository staff actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics

twitter

Email us: wrap@warwick.ac.uk
Contact Details
About Us